{"id":{"repo_id":"wvu","oai_identifier":"oai:researchrepository.wvu.edu:etd-2171"},"canonical_url":"https://search.dev.ndltd.org/etd/wvu/oai:researchrepository.wvu.edu:etd-2171","repository":{"repo_id":"wvu","name":"West Virginia University","base_url":"https://researchrepository.wvu.edu/do/oai/"},"display":{"title":"Analysis of particulate matter concentration and size distribution in heavy-duty vehicle exhaust emissions","abstract":"This study put forward a method to predict the concentration field in the plume of a heavy-duty truck, operating at highway speed. It provided information regarding computation of dispersion coefficients in the area near a stack.;The numerical cumulative frequency fit method obtained in this study provided an effective and quick means for determining the particle size distribution parameters (the mass median aerodynamic diameters and geometric standard deviations) of sample data for the multi-modal distribution.;The particle size distribution of the compressed natural gas buses tested was characterized by a bi-modal particle size distribution; the clean diesel buses had a uni-modal particle size distribution.;The heavy-duty diesel trucks exhibited the Count Median Diameter (CMD) values ranging from 30 nm to 60 nm. EC-Diesel truck test yielded a CMD of 33 run (baseline), a CMD of 37--39 nm (with a JM-CRT), and a CMD of 40--47 nm (with a Engelhard DPX). CARB's baseline was at 56 nm.;The thesis has 7 Chapters, 14 Tables, and 36 Figures.","abstract_html":"This study put forward a method to predict the concentration field in the plume of a heavy-duty truck, operating at highway speed. It provided information regarding computation of dispersion coefficients in the area near a stack.;The numerical cumulative frequency fit method obtained in this study provided an effective and quick means for determining the particle size distribution parameters (the mass median aerodynamic diameters and geometric standard deviations) of sample data for the multi-modal distribution.;The particle size distribution of the compressed natural gas buses tested was characterized by a bi-modal particle size distribution; the clean diesel buses had a uni-modal particle size distribution.;The heavy-duty diesel trucks exhibited the Count Median Diameter (CMD) values ranging from 30 nm to 60 nm. EC-Diesel truck test yielded a CMD of 33 run (baseline), a CMD of 37--39 nm (with a JM-CRT), and a CMD of 40--47 nm (with a Engelhard DPX). CARB's baseline was at 56 nm.;The thesis has 7 Chapters, 14 Tables, and 36 Figures.","abstract_has_math":false,"creators":["Xu, Zhuyun"],"institution":null,"degree_name":"MS","degree_level":"Thesis","degree_discipline":"Mechanical and Aerospace Engineering","degree_department":null,"school":null,"contributors":["Mridul Gautam."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2001,"date_issued":"2001-08-01T07:00:00Z","date_published":"2001-08-01T07:00:00Z","updated_at":"2026-07-24T06:15:23Z","subjects":["Mechanical engineering","Environmental engineering","Automotive engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://researchrepository.wvu.edu/etd/1168"],"render_values":[{"text":"https://researchrepository.wvu.edu/etd/1168","href":"https://researchrepository.wvu.edu/etd/1168","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.33915/etd.1168","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Mridul Gautam."]},{"key":"dc:creator","label":"Author","values":["Xu, Zhuyun"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2019-01-17T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical and Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MS"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Mechanical engineering","Environmental engineering","Automotive engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.33915/etd.1168","https://researchrepository.wvu.edu/etd/1168"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study put forward a method to predict the concentration field in the plume of a heavy-duty truck, operating at highway speed. It provided information regarding computation of dispersion coefficients in the area near a stack.;The numerical cumulative frequency fit method obtained in this study provided an effective and quick means for determining the particle size distribution parameters (the mass median aerodynamic diameters and geometric standard deviations) of sample data for the multi-modal distribution.;The particle size distribution of the compressed natural gas buses tested was characterized by a bi-modal particle size distribution; the clean diesel buses had a uni-modal particle size distribution.;The heavy-duty diesel trucks exhibited the Count Median Diameter (CMD) values ranging from 30 nm to 60 nm. EC-Diesel truck test yielded a CMD of 33 run (baseline), a CMD of 37--39 nm (with a JM-CRT), and a CMD of 40--47 nm (with a Engelhard DPX). CARB's baseline was at 56 nm.;The thesis has 7 Chapters, 14 Tables, and 36 Figures."]},{"key":"dc:title","label":"Title","values":["Analysis of particulate matter concentration and size distribution in heavy-duty vehicle exhaust emissions"]}]}],"canonical_facts":{"dc:contributor":["Mridul Gautam."],"dc:creator":["Xu, Zhuyun"],"dc:date.available":["2019-01-17T08:00:00Z"],"dc:description.abstract":["This study put forward a method to predict the concentration field in the plume of a heavy-duty truck, operating at highway speed. It provided information regarding computation of dispersion coefficients in the area near a stack.;The numerical cumulative frequency fit method obtained in this study provided an effective and quick means for determining the particle size distribution parameters (the mass median aerodynamic diameters and geometric standard deviations) of sample data for the multi-modal distribution.;The particle size distribution of the compressed natural gas buses tested was characterized by a bi-modal particle size distribution; the clean diesel buses had a uni-modal particle size distribution.;The heavy-duty diesel trucks exhibited the Count Median Diameter (CMD) values ranging from 30 nm to 60 nm. EC-Diesel truck test yielded a CMD of 33 run (baseline), a CMD of 37--39 nm (with a JM-CRT), and a CMD of 40--47 nm (with a Engelhard DPX). CARB's baseline was at 56 nm.;The thesis has 7 Chapters, 14 Tables, and 36 Figures."],"dc:identifier":["https://doi.org/10.33915/etd.1168","https://researchrepository.wvu.edu/etd/1168"],"dc:subject":["Mechanical engineering","Environmental engineering","Automotive engineering"],"dc:title":["Analysis of particulate matter concentration and size distribution in heavy-duty vehicle exhaust emissions"],"thesis:degree_discipline":["Mechanical and Aerospace Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["MS"]},"updated_at":"2026-07-24T06:15:23Z"}